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2020 – today
- 2022
[c15]Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang:
Towards Robust Off-Policy Learning for Runtime Uncertainty. AAAI 2022: 10101-10109- [c14]Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR 2022 - [c13]Da Xu, Chuanwei Ruan:
Modern Theoretical Tools for Designing Information Retrieval System. KDD 2022: 4842-4843 - [c12]Da Xu, Chuanwei Ruan:
Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. WSDM 2022: 1635-1637 - [i14]Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang:
Towards Robust Off-policy Learning for Runtime Uncertainty. CoRR abs/2202.13337 (2022) - [i13]Da Xu, Yuting Ye, Chuanwei Ruan:
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. CoRR abs/2203.13956 (2022) - [i12]Da Xu, Chuanwei Ruan:
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. CoRR abs/2203.13962 (2022) - 2021
- [c11]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR 2021 - [c10]Da Xu, Yuting Ye, Chuanwei Ruan:
Understanding the role of importance weighting for deep learning. ICLR 2021 - [c9]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML 2021: 11514-11524 - [c8]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD 2021: 3817-3825 - [c7]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021: 256-264 - [i11]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR abs/2102.12029 (2021) - [i10]Da Xu, Yuting Ye, Chuanwei Ruan:
Understanding the role of importance weighting for deep learning. CoRR abs/2103.15209 (2021) - [i9]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR abs/2103.15213 (2021) - [i8]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR abs/2110.12132 (2021) - [i7]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR abs/2110.12141 (2021) - 2020
- [c6]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive representation learning on temporal graphs. ICLR 2020 - [c5]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS 2020 - [c4]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. WSDM 2020: 672-680 - [c3]Da Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge-aware Complementary Product Representation Learning. WSDM 2020: 681-689 - [i6]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive Representation Learning on Temporal Graphs. CoRR abs/2002.07962 (2020) - [i5]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR abs/2012.02295 (2020)
2010 – 2019
- 2019
- [c2]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. ICASSP 2019: 3167-3171 - [c1]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Self-attention with Functional Time Representation Learning. NeurIPS 2019: 15889-15899 - [i4]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. CoRR abs/1903.02640 (2019) - [i3]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR abs/1904.12574 (2019) - [i2]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. CoRR abs/1911.12481 (2019) - [i1]Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan:
Self-attention with Functional Time Representation Learning. CoRR abs/1911.12864 (2019)
Coauthor Index
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